Abstract
Increasing adoption of Open Source Software (OSS) in information system engineering has led to the emergence of different OSS business strategies that affect and shape organizations’ business models. In this context, organizational modeling needs to reconcile efficiently OSS adoption strategies with business strategies and models. In this paper, we propose to embed all the knowledge about each OSS adoption strategy into an i* model that can be used in the intentional modeling of the organization. These models describe the consequences of adopting one such strategy or another: which are the business goals that are supported, which are the resources that emerge, etc. To this aim, we first enumerate the main existing OSS adoption strategies, next we formulate an ontology that comprises the activities and resources that characterise these strategies, then based on the experience of 5 industrial partners of the RISCOSS EU-funded project, we explore how these elements are managed in each strategy and formulate the corresponding model using the i* framework.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Chesbrough, H.: Open Business Models: How to thrive in the new Innovation Landscape. Harvard Business School Press (2006)
Teece, D.J.: Business Models, Business Strategy and Innovation. Long Range Planning Journal 43(2-3) (2010)
Osterwalder, A.: The business model ontology- a proposition in a design science approach. Lausanne, Switzerland: University of Lausanne. PhD Dissertation (2004)
Driver, M.: Hype Cycle for Open-Source Software. Technical Report, Gartner (2013)
Kudorfer, F., Laisne, J.P., Lauriere, S., Lichtenthaler, J., Lopez, G., Pezuela, C.: State of the art concerning business models for systems comprising open source software (2007)
Daffara, C.: Business models in FLOSS-based companies (2008)
Lakka, S., Stamati, T., Michalakelis, C., Martakos, D.: The Ontology of the OSS Business Model: An Exploratory Study. Open Source Software and Processes J. 3(1) (2011)
Kitchenham, B.: Guidelines for performing Systematic Literature Reviews in Software Engineering v2.3. EBSE Technical Report EBSE-2007-01
Ayala, C., López, L.: D1.1 Modeling Support (initial version). Technical Report, RISCOSS FP7 project
Ankolekar, A., Sycara, K., Herbsleb, J., Kraut, R., Welty, C.: Supporting online problem-solving communities with the semantic web. In: Proceedings of WWW 2006, pp. 575–584 (2006)
Simmons, G., Dillon, T.: Towards an Ontology for Open Source Software Development. In: Damiani, E., Fitzgerald, B., Scacchi, W., Scotto, M., Succi, G. (eds.) Open Source Systems. IFIP, vol. 203, pp. 65–75. Springer, Heidelberg (2006)
Dillon, T.S., Simmonsg, G.: Semantic web support for open-source software development. In: Proceeding of SITIS 2008, pp. 606–613 (2008)
Mirbel, I.: OFLOSSC, an ontology for supporting open source development communities. In: Proceedings of ICEIS 2009. SAIC, pp. 47–52 (2009)
Yu, E.: Modelling Strategic Relationships for Process Reengineering. PhD. thesis, Toronto (1995)
Franch, X.: On the Lightweight Use of Goal-Oriented Models for Software Package Selection. In: Pastor, Ó., Falcão e Cunha, J. (eds.) CAiSE 2005. LNCS, vol. 3520, pp. 551–566. Springer, Heidelberg (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
López, L., Costal, D., Ayala, C.P., Franch, X., Glott, R., Haaland, K. (2014). Modelling and Applying OSS Adoption Strategies. In: Yu, E., Dobbie, G., Jarke, M., Purao, S. (eds) Conceptual Modeling. ER 2014. Lecture Notes in Computer Science, vol 8824. Springer, Cham. https://doi.org/10.1007/978-3-319-12206-9_29
Download citation
DOI: https://doi.org/10.1007/978-3-319-12206-9_29
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12205-2
Online ISBN: 978-3-319-12206-9
eBook Packages: Computer ScienceComputer Science (R0)